Doplor Sleep Applicazione Mobile di Monitoraghju di u Sonnu da Yiling Liu

U designu Doplor Sleep Applicazione Mobile di Monitoraghju di u Sonnu da Yiling Liu hè un vincitore altamente stimatu di u prestigiosu premiu 2021 A' Design Award di Ferru in a Categuria di Cumpetizione Mubile.

FerruMubile· 2021

Doplor Sleep Applicazione Mobile di Monitoraghju di u Sonnu

da Yiling Liu

Cliente: Reinier de Graaf Gasthuis

Vincitore di u premiu A' Design Award di Ferru in a Categuria Mubile

11,147

Vincitore di Premiu Verificatu

Verificà u Statu di u Premiu per #114626

Visità u Situ Vede nantu à A' Design Award Cumunicatu Stampa Badge di Premiu

Culori

U Cuncepimentu

À propositu di Doplor Sleep Applicazione Mobile di Monitoraghju di u Sonnu

Doplor Sleep hè una applicazione di monitoraghju di u sonnu destinata à l'usu ospedaleru. L'applicazione arregistra i soni ambientali cù u microfonu di un smartphone. Dopu, l'algoritmi classificheghjanu ogni sonu in categurie tale chì l'alarmi medichi, a parolla, i soni accidentali è u russulà. I dati di u sonnu sò cullettati da un trackeur di sonnu cunnessu è cumbinati cù i dati sonori in un raportu ghjurnalieru. Illustrazioni simplici mostranu i livelli sonori è e fasi di u sonnu nantu à una sola linea temporale. L'obiettivu hè di fà pigliassi cuscenza à i pazienti è à u persunale medicu di u rumore cum'è causa di un male sonnu in l'ospedali.

U Ricunnoscimentu

À propositu di u A' Design Award di Ferru

Doplor Sleep Applicazione Mobile di Monitoraghju di u Sonnu hè un vincitore di u premiu A' Design Award di Ferru, una ricunniscenza prestigiosa attribuita à i boni disegni chì rispondenu à i requisiti prufessiunali è industriali aspettati da creazioni ben cuncipite. I vincitori di Ferru dimustranu una grande abilità, una alta specializazione, una cumpresa esperta è a capacità creativa di i so creatori. Si aspetta chì Doplor Sleep Applicazione Mobile di Monitoraghju di u Sonnu sia una creazione assai apprezzata, ammirata è cara chì hè pratica è innuvatrice. Stu disegnu vincitore di u premiu A' Design Award di Ferru integra e migliori pratiche di u settore è hà caratteristiche tecniche cumpetenti ligate à u sapè fà è à u talentu. Doplor Sleep Applicazione Mobile di Monitoraghju di u Sonnu hè rispettatu per a so meticulosità è hè cuncipitu per furnisce miglioramenti di a qualità di a vita chì aiutanu à fà di u mondu un locu megliu.

Daretu à u Cuncepimentu

Kit Stampa

Crediti, membri di a squadra è dettagli tecnici furniti da u cuncettore.

Pruprietà Uniche: Doplor Sleep is a bedtime monitoring application that provides insights into sound disturbances in the hospital. It captures the environmental sounds using the microphone of the smartphone, and the implemented algorithms directed classify the data recorded into different sound source categories, such as medical alarms, speech, incidental sounds, and snoring sounds. Doplor sleep is connected with the Fitbit sleep tracker and retrieves data from Fitbit API to form daily sleep-sound quality reports. As for the UI, we used friendly-looking illustrations to present the data and information, and a creative way of interaction to let users view the dynamic of their sleep status and the acoustical environment throughout the night.
Dimensioni è Imballaghju: The mobile application currently operates on Android devices, such as Android phones and devices.
Etichette: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Tecnulugia di Pruduzzione: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Sfida di Designu: The first challenge is how to design a sound classification algorithm that could accurately classify the sounds of the hospital. The second one is to investigate how can we present the sound data and sleep data on the same timeline in a user-friendly way.
Ricerca: Recently in the Netherlands, researchers have found
that sleep duration and quality were suboptimal in the
hospital. Evidence proved that many modifiable hospital-related
factors negatively associated with patients' sleep
(JAMA Internal Medicine, 2018). The sound factor is
the most significant sleep disturbance in the hospital.
In this graduation project, collaborating with Reiner de Graaf
hospital and Critical Alarms lab, an information exchange
the system was proposed to raise awareness of sound as sleep
disturbance. The system captures the sound-producing
events and visualizes them with visually attractive graphics.
In this system, we use the smartphone as the sound captor.
The recorded sounds are processed locally on the phone
and converted into information such as sound level and the
category it belongs to (alarm, speech, incidental sounds, or
snore). Fitbit is implemented in the system to collect sleep
information. To both patients and medical staff, The Doplor
sleep system presents the influence of sound on sleep in
a friendly and comprehensive way. During this project, a
functioning prototype was developed. We have tested its
functionality and user experience with the potential users.
Ispirazione: Sleep deprivation caused by environmental factors can be fatal to critically ill patients. For example, various noises caused by false medical alarms, activities of hospital staff, conversations, etc. can cause delirium in patients with brain diseases. When it happens, patients are in a state of mental confusion and emotional disruption, which prolongs their hospital stay and, like a vicious circle, disturbs the rest of the other patients. A first-step solution can be creating awareness.
Durata di u Prugettu: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Flussu Operativu: Before going to bed, the user presses the ship-icon button to start recording the environmental sounds. The next morning, the user presses the ship-icon again to stop recording. Then a sleep summary page occurs with information displayed such as sleep quality and sound quality. By Swiping to the left, the next screen occurs and the user sees more details about sees the presence of sounds (loudness levels and classifications) and sleep stages (wake, Light sleep, REM, and Deep sleep) during the whole by moving the boat forward along the river. Here we used boats as a time indicator and a representation of the sleeper, and the river indicating the timeline. The color blocks on the river represent the sleep stages. The icons of picnic, flashlight, rocks, and nose bubble indicate different sound classifications (speech, medical alarms, incidental sounds, and snores). Finally, by swiping to the left again, the user could fill in a short survey on their subjective feelings about sleep quality. The data will then be sent to the medical staff.
Membri di a Squadra: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Crediti d'Imagine: Image #1: Illustrator Yiling Liu, Doplor Sleep Mockup, 2020.
Image #2: Illustrator Yiling Liu, Doplor Sleep Phone Mockup, 2020.
Image # 3: Illustrator Yiling Liu, Doplor Sleep Tablet Mockup, 2020.
Image #4: Creator Yiling Liu, Doplor Sleep Phone Mockup, 2020.
Image #5: Creator Yiling Liu, Doplor Sleep Phone Mockup, 2020.
Video Credits: Creator Yiling Liu, Doplor Sleep Showcase, 2020